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Implementation of spectral maxima sound processing for cochlear implants by using bark scale frequency band partition

机译:通过使用Bark刻度频带分区实现耳蜗植入物的光谱最大声音处理

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摘要

A new method on the basis of Bark scale frequency-band partition was presented to improve the recognition performance of cochlear implants. In the nature of physics, it consists with humans cochlea filter properties. Also the mechanism of a cochlear implant and its spectral maxima sound processing (SMSP) strategy were presented. The time -frequency analyzing property of human's cochlea was analyzed. The theoretical determination of Bark scale frequency-band was also given with formula. Simulation results using Bark scale transform signal processing were discussed in detail and results show that the new method is feasible in speech processors for cochlear implants.
机译:提出了一种基于Bark Scale频带分区的新方法以改善耳蜗植入物的识别性能。在物理学的性质中,它由人类耳蜗过滤器进行组成。还提出了耳蜗植入物的机制及其光谱最大限度处理(SMSP)策略。分析了人耳蜗的时间分析。还给出了吠形谱频带的理论测定。详细讨论了使用树皮级变换信号处理的仿真结果,结果表明,新方法在耳蜗植入物的语音处理器中是可行的。

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